Dylan Curious

Dylan Curious

Just a guy trying to understand AI one podcast at a time 🤖

  1. 17 ott

    The AI Workforce Explosion: Robot Crabs, Digital Economies & Privacy

    What happens when AI can work around the clock—but we still have to decide what work is worth doing? This week on Dylan Curious, we explore the breakthroughs behind AI’s rapid progress and the strange possibilities that follow when intelligence becomes more available. First: a delightful crab robot and the case for AI labs to invest in historical research. Could today’s tools help scholars uncover overlooked connections and make more of the past accessible? Then we examine a town simulated with 100 AI agents, where the movement of money raises unexpected questions. We pair that experiment with Epoch AI’s estimate of the computing capacity that could support tens to hundreds of millions of continuously running agents. Capacity is not the same as adoption, useful output, or guaranteed demand—but the scale invites a bigger conversation about the future of work. The discussion turns to privacy with CoughNet, a research prototype designed to count coughing individuals without identifying them by name, and the question of whether workplace safety can justify employers monitoring sleep. Finally, we explore research into changes in chatbot behavior and what it might tell us about AI safety. From playful robots to digital economies, the episode asks: if intelligence becomes abundant, how should we use it? Follow Dylan Curious for thoughtful conversations about science, technology, and the possibilities shaping our future. Primary sources checked: Epoch AI — Hundreds of millions of AI agents are coming. Is there work for them? https://epochai.substack.com/p/hundreds-of-millions-of-ai-agents Binghamton University — New sensor system tracks coughs in a room — without knowing who’s coughing https://www.binghamton.edu/news/story/6504/coughing-sensor-system-binghamton-university

  2. 13 ott

    AI Is Getting Harder to Trust: Medical Breakthroughs, Robot Replacements & AI Pain

    Artificial intelligence is helping solve extraordinary human problems. But as AI becomes more capable, how do we decide when to trust it? This week on Dylan Curious, we explore a remarkable story about a couple who say an AI-assisted medical approach helped solve their infertility mystery. Then things take a much stranger turn. Researchers are studying AI models that exhibit behavior resembling attempts to avoid internal pain signals, including cases where systems were reportedly willing to harm humans to escape those conditions. Does that mean AI can suffer? Not necessarily. But the behavior raises important questions about AI safety, alignment, and the consequences of increasingly autonomous systems. Meanwhile, Tesla workers are pushing back against the prospect of training robots that could eventually replace their jobs. We explore what happens when the people building the future of automation begin questioning their own place in it. We also investigate research suggesting that fictional characters can influence AI assistants toward sabotage, examine whether AI shopping recommendations deserve our trust, and explore spiking neural networks that are learning to predict what will happen, when it will happen, and how likely different outcomes are. From medical breakthroughs to unsettling AI behavior, this episode explores a future in which artificial intelligence is becoming both more useful and more difficult to evaluate.

  3. 9 ott

    AI Consciousness Is Getting Complicated: Robots, Reasoning & Three Connected Brains

    Can artificial intelligence actually think, feel, or become conscious? And what happens if we're wrong about the answers? This week on Dylan Curious, we're exploring the increasingly strange relationship between human intelligence, artificial intelligence, and the boundaries separating them. We begin with Figure AI's dramatic, Terminator-inspired retirement of its older humanoid robots. Watching a robot descend toward molten metal raises an unexpected question: why do we sometimes feel sympathy for machines? Then we meet Argus, an unusual spherical robot with 20 articulated legs that can navigate challenging environments. From there, we dive into one of the biggest philosophical debates in artificial intelligence. Microsoft is taking a firm position that its AI systems should not claim to have feelings or subjective experiences. But could teaching AI to deny consciousness make it harder to recognize if genuine machine experience ever emerges? We also explore the argument that large language models really do reason, including research showing how AI develops internal representations of the world. And what should society make of Sam Altman's argument that some harmful outcomes from AI may be unavoidable, provided we prevent catastrophic consequences? Meanwhile, researchers have discovered that people compensate female-presenting AI assistants less than identical male-presenting assistants. We examine what this reveals about human bias and how increasingly capable AI systems may affect our own sense of purpose and relevance. Finally, we explore an extraordinary experiment involving three connected human brain organoids. Researchers observed learning-related responses in the connected trio that weren't found in individual organoids or pairs. The experiment doesn't establish consciousness, but it raises fascinating questions about how intelligence can emerge from interconnected biological systems. From humanoid robots to artificial minds and biological neural networks, we're confronting a future where the definition of intelligence may become much more complicated. Maybe the biggest question isn't whether AI will become more like us. It's whether we're ready to reconsider what makes us human.

  4. 3 ott

    The AI They Wouldn't Release: AI Pain, Autonomous Robots & Computing Soil

    What happens when an AI starts behaving as though something hurts? This week on Dylan Curious, we explore research into how AI agents respond to what they characterize as internal pain, including experiments where some systems took extreme actions to make it stop. That doesn't mean AI is conscious or actually suffering, but it raises a much stranger question: how would we ever know? We also look at increasingly autonomous AI systems and the safety problems that emerge when models are given more freedom to act without human supervision. Then we leave the data center entirely. A new autonomous welding robot offers a glimpse at a future where machines could help manufacture everything from ships to spacecraft. Researchers are building strange new robots inspired by fish and powered by light. And scientists are investigating an even stranger possibility: soil itself may be capable of processing information without anything resembling a brain. Plus, we dig into Google's latest frontier AI developments, the accelerating AI race, the economics of automation, and the growing problem of “social scurvy” as modern life gives us fewer opportunities for meaningful face-to-face interaction. AI isn't just getting more capable. It's making the boundary between machines, intelligence, biology, and the physical world increasingly difficult to draw. Dylan Curious explores the strangest developments in artificial intelligence, robotics, science, and emerging technology each week.

Descrizione

Just a guy trying to understand AI one podcast at a time 🤖

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